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sensitivity (by controlling field amplitude, frequency, and penetration depth). _ Implement MRP measurements under controlled stress (uniaxial and residual). _ Validate the model with experimental MRP data
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Control. As part of its strategic development, ICFO is reinforcing its Coordination function, with the objective of: Structuring processes across teams Improving consistency in institutional operations
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Associate in Research The role involves developing and optimizing machine learning models to predict infectious diseases using multimodal health data. Responsibilities include analyzing correlations between
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 14 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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settings. The ultimate goal is to enable early, systematic, and robust screening of children at risk of neurodevelopmental disorders. Deep learning models typically produce point predictions, whose
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, implement, and tune advanced control augmentation techniques (e.g., model predictive control, adaptive control) to enhance the stability and agility of COTS drones under dynamic conditions. Swarm Intelligence
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. Preferred Qualifications Experience in development of predictive video display systems Experience in teleoperation and/or control of autonomous vehicles Experience in working with sensor systems such as GNSS
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at the University of Rouen Normandie is seeking a motivated PhD candidate for the CRONOSS project, which aims to revolutionize crystallization control by combining in silico simulations with experimental validation
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drug residence time, creating a high burden for patients and clinics. We thus aim to develop a minimally invasive, injectable biomaterial platform designed to enable predictable, long-term ocular
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control energy localization. The core objective is to exploit the interplay between nonlinearity, disorder, and topology to achieve superior performance in vibration-based applications. To this end